PandaDoc — вакансии

Site Reliability Engineers are mission-critical for PandaDoc success. We ensure that PandaDoc services are reliable and service our customers with minimum downtime. Site Reliability Engineers are the driving force that keeps the system running smoothly and helps identify any bottlenecks before they become issues. We focus on metrics, observability, and eliminating manual operations work with automation.

In this role, you will:

• Build software, frameworks, and tools required for reliable operations of PandaDoc services
• Manage the stability and operation of most critical production applications through application reviews, capacity planning, and performance tuning
• Constantly develop automations/tooling for better platform reliability/availability
• Work with cutting-edge & distributed systems not limited to, but including Kubernetes, RabbitMQ, Kafka, Redis and ElasticSearch
• Collaborate with other engineers on the team as well as cross functionally to foster solid engineering principles and represent our engineering values
• Participate in various POCs on new projects and frameworks being evaluated for the product/platforms
• Improve our observability as both a developer/maintainer of systems/frameworks, and a mentor to our product development teams

About you:

• 3+ years of experience using higher level languages (e.g. Python or Go)
• Strong experience in configuration and maintenance observability tools (Prometheus, Grafana, Kibana)
• Experience in supporting critical production services
• Enjoy hands-on troubleshooting in a distributed Linux systems environment and are comfortable in tracing problems through applications, systems and networks
• Strong experience with AWS and Kubernetes
• Experience using industry standard DevOps tools such as GitLab, Jenkins, Terraform
• You enjoy communication and knowledge sharing on all things reliability
• You act like an owner and strive to do work you're proud of, both technically and in your team interactions

We’re building a powerful AI platform to drive innovation across all PandaDoc products, and we’re looking for a Sr.Python Engineer who’s passionate about solving real-world challenges with cutting-edge AI technology. This role is for someone who is excited about new emerging Gen AI technologies, thrives in a fast-paced environment, and cares deeply about building systems that deliver real impact to our customers.

What makes this role special?

• Work on a modern AI platform: Build a scalable platform that enables AI-first products at PandaDoc and gives other developers a head start without overcomplexity. Tackle challenges like RAG pipelines, knowledge graphs, LLM routing, fine-tuning, testing, and observability – making it easy for other engineers to integrate and build on top of the platform.
• Tackle real-world challenges: It’s easy to create an impressive demo, but much harder to productize Gen AI applications and make them work reliably for tens of thousands of customers. You will help productize the technology, ensuring it works seamlessly and reliably across all our customers.
• High ownership, fast pace: You’ll have the independence to take projects from 0 to deployment, solving complex problems and delivering results quickly.
• Focus on the end product: Go beyond technical challenges – you’ll build solutions that drive real business value and help small and medium-sized businesses thrive.

What will you do?

• Develop end-to-end systems: Design, build, and deploy web systems and APIs from scratch. You’ll focus on building scalable, reliable solutions that integrate seamlessly with AI tools and workflows.
• Work with modern Gen-AI architecture: Develop pipelines for RAG (retrieval-augmented generation), knowledge graphs, LLM routing, evaluation and testing frameworks, and fine-tuning models for specific use cases.
• Optimize multi-model support: Work with multiple LLMs (like GPT-4, Claude, fine-tuned models) to ensure effective routing, dynamic task handling, and performance optimization.
• Collaborate with product and engineering teams: Partner closely with technical PMs, designers, and other engineers to bring the platform to life and support innovation in AI products.
• Solve real-world AI challenges: Apply your experience working with LLMs to navigate their quirks, troubleshoot issues, and build tools that ensure quality, scalability, and observability.
• Move fast and iterate: Take ownership of your work, ship quickly, and learn from feedback to improve and optimize solutions.

What are we looking for?

• Proficient in Python: 5+ years of experience coding in Python, building web systems, APIs, and scalable backend services.
• Experience with real-world AI applications: You’ve worked on Gen-AI projects, including RAG, knowledge graphs, LLM routing, and fine-tuning. You understand the architecture and tools needed to make these systems work.
• Deep knowledge of LLMs: You’ve worked with multiple LLM models and can explain their quirks, limitations, and how you’ve overcome them in past projects.
• End-to-end development skills: You’ve developed systems from the ground up – from design and coding to deployment and testing.
• Fast pace and high independence: You enjoy working in a fast-moving environment with lots of autonomy to solve problems and deliver results.
• Product-focused mindset: You care about the impact of your work and strive to build systems that deliver tangible value to customers.